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Introduction. High HbA1c can potentially cause various health implications, primarily related to metabolic and cardiovascular diseases. Poor sleep quality increases the risk of elevated HbA1c levels through multiple mechanisms. This study aims to determine the association between sleep quality and high HbA1c levels in Indonesia's productive age population of 20-59 years. Methodology. This study was conducted cross-sectionally using Indonesia Family Life Survey (IFLS) 5 data in 2014. The sample size was 4223 using the total sampling method. Data were analyzed descriptively and estimated using multiple logistic regression analysis. The data were analyzed using STATA 13 software. Results. The prevalence of high HbA1c levels was 6.06%, while the prevalence of poor sleep quality was 15.16%. A total of 15.47% who experienced high HbA1c levels had poor sleep quality. The final model analysis showed that those with poor sleep quality were statistically significantly associated (p<0.001) and increased the risk of high HbA1c by four times compared to those with good sleep quality (PR= 3.99; 3.0563-5.2173). There were no confounders that could interfere with the association of high HbA1c levels with poor sleep quality in this study. However, those who were ≥45 years old, female, hypertension, and BMI ≥23 kg/m2 had a greater risk of high HbA1c in poor sleep quality. Conclusion. Poor sleep quality was shown to be significantly associated with the incidence of high HbA1c levels. Requires educational interventions and health counselling in the productive age population related to maintaining sleep quality based on the components of good sleep quality for maintaining normal HbA1c levels.
Globally, there is an increase in the prevalence of obesity. The prevalence of obesity in Indonesia is increasing every year, based on Riskesdas, the incidence of obesity increase from 14.8% (2013) to 21.8% (2018). Workers are a population that has a high risk of developing obesity because they spend most of their time at work. This research aims to determine the relationship between sleep patterns, macronutrient intake and other factors on the incidence of obesity in workers at PT Sango Ceramics Indonesia. This study used a cross sectional design with total sample 121 adult workers carried out at PT Sango Ceramics Indonesia in February-March 2024. Bivariate analysis used chi square while multivariate analysis in this study used the logistic regression test. It was found that the percentage of obesity among workers at PT Sango Ceramics Indonesia was 51.3%. The results of bivariate analysis show that there is a significant relationship between energy intake, carbohydrate intake, fat intake, protein intake, sleep patterns and physical activity on the incidence of obesity in workers. Meanwhile, there was no significant relationship between age, gender, education, type of work, smoking status, fiber intake, eating frequency, fried food intake habits, sweet food intke habits and the incidence of obesity. Meanwhile, based on the results of multivariate analysis, it was found that carbohydrate intake contributed greatly to the incidence of obesity OR 9.113 (95% CI: 2.320-35.786). It can be interpreted that carbohydrate intake can increase the incidence of obesity 9 times higher than adequate carbohydrate intake.
Data Kementerian ESDM mencatat 93 kecelakaan di area pertambangan pada tahun 2021, dengan 36 kecelakaan ringan dan 57 kecelakaan berat, merenggut 11 korban jiwa. Tahun 2019 menjadi tahun terburuk dengan 133 kecelakaan (27 ringan, 106 berat) dan 24 korban jiwa. Penelitian ini bertujuan untuk mengetahui hubungan kualitas tidur dengan kelelahan kerja setelah dikontrol oleh variabel confounding pada operator alat berat industri pertambangan PT.X Site A 2024. Metode yang digunakan pada penelitian ini adalah penerapan rancangan cross-sectional. Studi ini melibatkan 213 pekerja yang diminta untuk mengisi kuisioner. Analisis data dilakukan menggunakan uji multivariat analisis faktor risiko. Hasil penelitian menunjukkan bahwa 49,3% pekerja mengalami kelelahan kerja pada tingkat berat, sedangkan 50,7% responden mengalami kelelahan kerja pada tingkat ringan. Hasil penelitian menunjukkan terdapat hubungan antara kualitas tidur dengan kelelahan kerja (p value=0,011). Pekerja yang memiliki kualitas tidur buruk berisiko 2,38 kali untuk mengalami kelelahan kerja berat dibandingkan pekerja yang memiliki kualitas tidur baik setelah dikontrol oleh variabel masa kerja, waktu perjalanan, lingkungan tidur, dan faktor psikososial (overcommitment) (aOR=2,38 95% CI 1,22 – 4,65). Kata kunci: kelelahan kerja, kualitas tidur, operator alat berat, pertambangan
Data from the Ministry of Energy and Mineral Resources (ESDM) recorded 93 accidents in mining areas in 2021, with 36 minor accidents and 57 serious accidents, claiming 11 lives. The year 2019 was the worst year with 133 accidents (27 minor, 106 serious) and 24 fatalities. This research aims to determine the relationship between sleep quality and work fatigue after controlling for confounding variables in heavy equipment operators in the mining industry of PT.X Site A 2024. The method used in this research is the application of a cross-sectional design. This study involved 213 workers who were asked to fill out questionnaires. Data analysis was performed using multivariate risk analysis. The results of the study showed that 49.3% of workers experienced severe work fatigue, while 50.7% of respondents experienced mild work fatigue. The results of the study showed that there is a relationship between sleep quality and work fatigue (p value = 0.011). Workers with poor sleep quality were 2.38 times more likely to experience severe work fatigue compared to workers with good sleep quality after controlling for work experience, travel time, sleep environment, and psychosocial factors (overcommitment) (aOR = 2.38 95% CI 1.22 – 4.65). Keywords : work fatigue, sleep quality, heavy equipment operators
